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Article

A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands

1
Department of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USA
2
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Thomas Meixner
Water 2021, 13(18), 2487; https://doi.org/10.3390/w13182487
Received: 12 August 2021 / Revised: 3 September 2021 / Accepted: 7 September 2021 / Published: 10 September 2021
Wetlands play a significant role in flood mitigation. Remote sensing technologies as an efficient and accurate approach have been widely applied to delineate wetlands. Supervised classification is conventionally applied for remote sensing technologies to improve the wetland delineation accuracy. However, performing supervised classification requires preparing the training data, which is also considered time-consuming and prone to human mistakes. This paper presents a deterministic topographic wetland index to delineate wetland inundation areas without performing supervised classification. The classic methods such as Normalized Difference Vegetation Index, Normalized Difference Water Index, and Topographic Wetness Index were chosen to compare with the proposed deterministic topographic method on wetland delineation accuracy. The ground truth sample points validated by Google satellite imageries from four different years were used for the assessment of the delineation overall accuracy. The results show that the proposed deterministic topographic wetland index has the highest overall accuracy (98.90%) and Kappa coefficient (0.641) among the selected approaches in this study. The findings of this paper will provide an alternative approach for delineating wetlands rapidly by using solely the LiDAR-derived Digital Elevation Model. View Full-Text
Keywords: wetland delineation; supervised classification; LiDAR-derived DEM; deterministic topographic approach; TWI; NDVI; NDWI wetland delineation; supervised classification; LiDAR-derived DEM; deterministic topographic approach; TWI; NDVI; NDWI
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MDPI and ACS Style

Bian, L.; Melesse, A.M.; Leon, A.S.; Verma, V.; Yin, Z. A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands. Water 2021, 13, 2487. https://doi.org/10.3390/w13182487

AMA Style

Bian L, Melesse AM, Leon AS, Verma V, Yin Z. A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands. Water. 2021; 13(18):2487. https://doi.org/10.3390/w13182487

Chicago/Turabian Style

Bian, Linlong, Assefa M. Melesse, Arturo S. Leon, Vivek Verma, and Zeda Yin. 2021. "A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands" Water 13, no. 18: 2487. https://doi.org/10.3390/w13182487

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